Triple

T5378538
Position Surface form Disambiguated ID Type / Status
Subject San Diego Model Railroad Museum E113022 entity
Predicate shortName P43 FINISHED
Object SDMRM
SDMRM is the San Diego Model Railroad Museum, a large museum in Balboa Park dedicated to model railroading and railroad history.
 E515212 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: SDMRM | Statement: [San Diego Model Railroad Museum, shortName, SDMRM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SDMRM
Context triple: [San Diego Model Railroad Museum, shortName, SDMRM]
  • A. SMR
    SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
  • B. SDMC
    SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • C. SRM
    SRM is the commonly used abbreviation for the Sikh Rehat Maryada, the official code of conduct and conventions for Sikhs.
  • D. SDM
    SDM refers to a Sub-Divisional Magistrate, a key administrative and executive officer in charge of governance, revenue, and law-and-order functions within a sub-division of a district in India.
  • E. SDM
    SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: SDMRM
Triple: [San Diego Model Railroad Museum, shortName, SDMRM]
Generated description
SDMRM is the San Diego Model Railroad Museum, a large museum in Balboa Park dedicated to model railroading and railroad history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SDMRM
Target entity description: SDMRM is the San Diego Model Railroad Museum, a large museum in Balboa Park dedicated to model railroading and railroad history.
  • A. SMR
    SMR is the three-letter ISO 3166-1 alpha-3 country code assigned to San Marino.
  • B. SDMC
    SDMC is a regional institution under SAARC that focuses on coordinating and strengthening disaster risk reduction and management efforts among South Asian countries.
  • C. SRM
    SRM is the commonly used abbreviation for the Sikh Rehat Maryada, the official code of conduct and conventions for Sikhs.
  • D. SDM
    SDM refers to a Sub-Divisional Magistrate, a key administrative and executive officer in charge of governance, revenue, and law-and-order functions within a sub-division of a district in India.
  • E. SDM
    SDM is the ICAO airline designator used to identify Rossiya Airlines in international aviation operations.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd4436a1988190af18dcff7fd306b4 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd86ccfd988190ab862a5d1743955b completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf29465ff0819082c05dbe40a306f3 completed March 21, 2026, 11:27 p.m.
NEDg Description generation batch_69bf29e0c9708190ac76c8306b76f0fa completed March 21, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_69bf2a93efa88190b641924bb652068c completed March 21, 2026, 11:32 p.m.
Created at: March 20, 2026, 2:03 p.m.